TY - GEN
T1 - Periodic Interference Cancellation With Drift Estimation Based on Super-Resolution Techniques in Frequency Domain
AU - Denno, Satoshi
AU - Hou, Yafei
N1 - Funding Information:
VI. ACKNOWLEDGMENTS This work was supported by JSPS KAKENHI Grant Number JP21K04061.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper proposes a novel interference cancellation technique that keeps radio receivers from periodic interference signals caused by electromagnetic waves emitted from high power circuits. The proposed technique cancels periodic interference signals in the frequency domain, even if the periodic interference signals are drifted in the time domain. We propose a drift estimation based on a super resolution technique such as ESPRIT. The proposed technique employs a linear filter based on the minimum mean square error criterion with assistance of the estimated drifts for the interference cancellation. The performance of the proposed technique is confirmed by computer simulation. The proposed technique achieves a gain of more than 40 dB at the higher frequency index.
AB - This paper proposes a novel interference cancellation technique that keeps radio receivers from periodic interference signals caused by electromagnetic waves emitted from high power circuits. The proposed technique cancels periodic interference signals in the frequency domain, even if the periodic interference signals are drifted in the time domain. We propose a drift estimation based on a super resolution technique such as ESPRIT. The proposed technique employs a linear filter based on the minimum mean square error criterion with assistance of the estimated drifts for the interference cancellation. The performance of the proposed technique is confirmed by computer simulation. The proposed technique achieves a gain of more than 40 dB at the higher frequency index.
KW - Asynchronous interference signals
KW - Frequency Domain
KW - Minimum mean square Error (MMSE) estimation
KW - Periodic Interference
KW - Super resolution estimation
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U2 - 10.1109/VTC2022-Spring54318.2022.9860405
DO - 10.1109/VTC2022-Spring54318.2022.9860405
M3 - Conference contribution
AN - SCOPUS:85137775816
T3 - IEEE Vehicular Technology Conference
BT - 2022 IEEE 95th Vehicular Technology Conference - Spring, VTC 2022-Spring - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring
Y2 - 19 June 2022 through 22 June 2022
ER -